Defining Health Data Zones in Peel, Ontario
Author Information
Author(s): Drackley Adam, Newbold K Bruce, Taylor Christian
Primary Institution: McMaster University
Hypothesis
How to appropriately define aggregate neighbourhoods ('Data Zones') in the Region of Peel, Ontario.
Conclusion
The methodology used resulted in a robust series of Data Zones for use by Peel Public Health.
Supporting Evidence
- The study identified 15 Data Zones based on socioeconomic and sociodemographic attributes.
- Statistical analysis was combined with ground-truthing and expert consultation.
- The methodology allows for flexibility and can be applied in different contexts.
Takeaway
The study created specific areas called Data Zones to help understand health differences in Peel, Ontario, based on local characteristics.
Methodology
The study used Principal Component Analysis and the Getis-Ord Gi* statistic to define Data Zones based on Census Tracts.
Potential Biases
Potential misrepresentation of populations due to the aggregation of spatial data.
Limitations
The use of Census Tracts may overlook important variations within the defined zones.
Participant Demographics
The Region of Peel has a diverse population, with nearly 50% being immigrants and a significant portion reporting a non-English/non-French mother tongue.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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